بدائل البحث:
elimination algorithm » maximization algorithm (توسيع البحث), optimization algorithms (توسيع البحث), segmentation algorithm (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
a feature » _ feature (توسيع البحث), _ features (توسيع البحث), each feature (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
elimination algorithm » maximization algorithm (توسيع البحث), optimization algorithms (توسيع البحث), segmentation algorithm (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
a feature » _ feature (توسيع البحث), _ features (توسيع البحث), each feature (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
منشور في 2021"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
منشور في 2022"…In this study, the effects of CI and data scarcity (DS) on the performance of binary classification models were investigated using ToxCast bioassay data. …"
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The comparison of the accuracy score of the benchmark and the proposed models.
منشور في 2025الموضوعات: -
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors
منشور في 2023"…<p>In statistical analysis or supervised learning, classification has been an attractive topic. Typically, a main goal is to adopt predictors to characterize the primarily interested binary random variables. …"